Basic Search / Detailed Display

Author: 謝旻峰
Min-Feng Hsieh
Thesis Title: 互動式選擇權教學系統輔助期權教學之 個案學習成效研究
Case study effectiveness of interactive option teaching system
Advisor: 繆維中
Wei-Chung Miao
Committee: 張琬喻
Woan-Yuh Jang
陳俊男
Chun-Nan Chen
Degree: 碩士
Master
Department: 管理學院 - 財務金融研究所
Graduate Institute of Finance
Thesis Publication Year: 2019
Graduation Academic Year: 107
Language: 中文
Pages: 69
Keywords (in Chinese): 選擇權策略數位教學圖像化學習B-S模型質性分析主動性學習
Keywords (in other languages): Option strategies, E-Learning, Graphic Learning, B-S formula, Qualitative analysis, Active Learning
Reference times: Clicks: 312Downloads: 1
Share:
School Collection Retrieve National Library Collection Retrieve Error Report
  • 由於近年來金融危機發生愈加頻繁,許多人開始注重自我的財務管理,然而隨著市面上的金融產品越來越複雜,加上網際網路的發達導致大量訊息流通,讓許多人無法辨別真偽而蒙受損失,因此財務相關的教育便十分重要。然而,傳統的理論學習法往往讓不同背景的人學習遭遇到困難,加上如期貨與選擇權等數學性質更強的領域更是令人退避三舍,因此,本研究希望引用教學模組的方式,用更加直觀的方式引導學生學習,並且激發其的主動性,讓財務學習不再是惡夢。本文同時採用量化及質化的方式分析資料,量化學生們的測驗成績,以判斷學生的學習成效是否有進步,而質化分析則是針對學生的主觀感受,以調查不同背景的學生是否皆能激發其學習熱忱。
    研究結果的分析上,測驗分數的量化結果顯示受測者大多能在使用教學模組後對於選擇權的觀念理解及計算能力皆有一定程度的進步,對於相關的延伸應用也有相當幅度的了解。而圖形理解的部分,則出現不同背景學習能力有所差距的現象,然而整體而言,學習效果明顯提升。在質化分析中,回饋單分析出受測者對於模組的正面評價多集中於方便使用及加快基礎觀念,但使用者介面的優化則尚有改進空間。而個人訪談的部份,則可明顯感受出受測者在接觸模組教材後的主動性提升,使其更具動機做延伸性學習,並將學期所學的知識應用在實務面上,真正連接理論與實務,達到學用合一的目的。


    Due to the increasing frequency of financial crisis in recent years, many people began to pay attention to their own wealth management. However, not only the financial products became complex, but the well-development of the internet made a lot of information delivery fast; these make people who do not have financial background suffered from the wrong information. That is the key point that makes the education of finance becoming crucial. However, the traditional theoretical learning method often makes it difficult for people of different backgrounds to learn, and the fields with stronger mathematical properties such as the future and option are more retreating. Therefore, this study hopes to introduce the teaching software modules in an intuitive way, which can enhance their interest to learn deep. In this project, quantitative and qualitative methods are both used to analyze the data collected from our class. In the quantitative part, we collect students' test scores to observe whether their learning results have improved or not. The qualitative analysis aims to understand students' subjective feelings, in order to see whether students with different backgrounds can benefit in the learning processes and whether their enthusiasm for learning is encouraged.
    In the analysis of the research results, the quantitative results of the test scores show that most of the subjects can make a certain degree of improvement in the concept understanding and calculating ability after using the teaching module, and also have a considerable understanding of the related extension applications. However, in the part of graphic comprehension, there is a phenomenon that the learning ability by different backgrounds is different. However, overall, the learning effect is significantly improved. In the qualitative analysis, the feedback-form analyzes that the positive evaluation of the module by the subject is concentrated on the convenience of use and speed up the understanding of basic concept, but the optimization of the user interface still has room for improvement.

    第1章 緒論 1 1.1 研究動機 1 1.2 研究貢獻 1 1.3 研究架構 2 第2章 參考文獻 4 2.1 既有操作軟體 4 2.2 與發展模組相關之數學模組討論 6 第3章 研究方法 8 3.1 研究對象 8 3.2 研究課程背景 9 3.3 研究假說 12 3.4 研究工具 12 3.4.1 模組引入前之引導教材(引導教材) 12 3.4.2 模組操作前的觀念前測(前測)及操作後的觀念後測(後測) 13 3.4.3 模組之使用者介面(模組) 21 3.4.4 測試完後的回饋問卷(問卷) 28 3.4.5 學生學習成效訪談(訪談) 29 3.5 資料蒐集方法及程序 30 第4章 結果分析 31 4.1 研究限制 31 4.2 前後測量化分析比較 31 4.2.1 模組1分析結果 31 4.2.2 模組2分析結果 34 4.2.3 模組3分析結果 36 4.2.4 模組4分析結果 39 4.3 問卷回饋單分析 41 4.4 期末心得分析 43 4.5個人訪談分析 45 4.6 綜合結果分析 53 第5章 結論與建議 56 5.1 結論 56 5.2 研究建議 57 第6章 參考文獻 58 附錄A 模組2後測問卷 60 附錄B 模組3前測問卷 62 附錄C 模組3後測問卷 63 附錄D 模組4前測問卷 66 附錄E 模組4後測問卷 68

    朱柔若(譯),社會研究方法,台北市:揚智文化,2000

    吳芝儀,建構論及其在教育研究上的應用,中正大學教育學研究所編,高雄市:麗文,2000

    徐宗國(譯),質性研究概論,台北市:巨流,1997

    Fama, E. (1965). Random Walks in Stock Market Prices. Financial Analysts Journal, 21, 55-59.

    Thomas Delcey. Efficient Market Hypothesis, Eugene Fama and Paul Samuelson: A reevaluation. 2017. ffhal-01618347v1f

    Black, F. and Scholes, M. (1973). The Pricing of Options and Corporate Liabilities. Journal of Political Economy, 81, 3, 637-654.

    Lovász, L. (1993). Random Walks on Graphs: A Survey.Combinatorics, Paul erdos is eighty,2(1), 1-46

    Park, C., & Padgett, W. J. (2005). Accelerated Degradation Models for Failure Based on Geometric Brownian Motion and Gamma Processes.Lifetime Data Analysis,11(4), 511-527.

    Trigeorgis, L. (Ed.). (1995).Real Options in Capital Investment: Models, Strategies, and Applications. Greenwood Publishing Group.

    Bookstaber, R., & Clarke, R. (1984). Option Portfolio Strategies: Measurement and Evaluation. Journal of Business, 469-492.

    Hull, J. C. (2014). Options, Futures, and Other Derivative Securities. Prentice-Hall, Upper Saddle River, N.J., USA.

    Heston, S. (1993). A Closed-form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options. Review of Financial Studies, 6, 327-343.

    Griffith, D. E., & Rust, R. T. (1993). Effectiveness of some Simple Pricing Strategies under Varying Expectations of Competitor Behavior. Marketing Letters,4(2), 113-126.

    Patton, M. Q. (1990).Qualitative Evaluation and Research Methods. SAGE Publications, inc.

    Glaser, B. G. (1965). The Constant Comparative Method of Qualitative Analysis.Social problems,12(4), 436-445.

    Benta, D., Bologa, G., Dzitac, S., & Dzitac, I. (2015). University Level Learning and Teaching via e-Learning Platforms.Procedia Computer Science,55, 1366-1373.

    Adzobu, N. (2014). Design, Use and Evaluation of E-Learning Platforms: Experiences and Perspectives of a Practitioner from the Developing World Studying in the Developed World. Informatics,Vol. 1, No. 2, pp. 147-159. Multidisciplinary Digital Publishing Institute.

    Gomes, B., & Gomes, R. (2011). Platforms to Support e-Learning in Higher Education Institutions. 2nd International Conference on Education and Management Technology, pp. 119-127.

    Muduli, P.K, Asjola, V., Chaudhary, P., & Shashikumara, A. A. (2019). E-Learning Platform for Transforming Higher Education Through Distance Learning. Librarianship Development through Internet of Things and Customer Service, 61.

    QR CODE